Sensitivity, specificity, and tolerability of the BACTrack Skyn compared to other alcohol monitoring approaches among young adults in a field-based setting.

Sensitivity, specificity, and tolerability of the BACTrack Skyn compared to other alcohol monitoring approaches among young adults in a field-based setting.
复制标题

DOI:
10.1111/acer.14804
复制
发表时间:
2022-05
期刊:
ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH
影响因子:
--
通讯作者:
Fucito, Lisa M.
Fucito, Lisa M.
中科院分区:
其他
文献类型:
--
作者:
Ash, Garrett, I;Gueorguieva, Ralitza;Barnett, Nancy P.;Wang, Wuyi;Robledo, David S.;DeMartini, Kelly S.;Pittman, Brian;Redeker, Nancy S.;O'Malley, Stephanie S.;Fucito, Lisa M.

文献摘要

参考文献

被引文献

相似文献

需要一种新型的酒精生物传感器,其准确,能够在接近消费的时间检测酒精,并且对于许多临床和研究应用是可行和可接受的。我们评估了一种新的(BACTrack Skyn)和已建立的(酒精监测系统SCRAM CAM)酒精生物传感器的现场准确性和耐受性。传感器和日记数据是在一项更大规模的生物反馈干预研究中收集的,但在本子研究中进行了观察比较。参与者(高风险饮酒者,40%为女性;中位年龄21岁)佩戴Skyn和SCRAM CAM传感器1至6天,并被指示照常饮酒。来自第一组参与者(N=27; 101人-天)的数据被用来找到经皮酒精的阈值,这些阈值将每天归类为满足或不满足定义的饮酒水平(重度,中度以上,任何)。这些值用于开发评分指标,随后使用第二队列(N = 20; 57人-天)进行测试。将来自两种生物传感器的数据与移动的日记自我报告进行比较,以评价与文献中建立的先验标准相关的灵敏度和特异性。队列#1在器械运输后3个月内的Skyn分类规则显示重度饮酒的灵敏度极佳(94%),超过中度以上和任何饮酒的预期(78%/69%),而特异性符合预期(91%)。然而,当对队列1器械进行检测时,分类恶化(受试者操作者特征的曲线下面积为0.87 vs 0.79),并且当应用于队列2时,推导出的分类阈值的特异性不足(70%)。Skyn耐受性指标非常好,超过SCRAM CAM(p ≤.001)。Skyn耐受性良好,准确性规则可在内部推导,但在器械批次和使用月数中未产生有用的评分指标。
There is a need for novel alcohol biosensors that are accurate, able to detect alcohol close in time to consumption, and feasible and acceptable for many clinical and research applications. We evaluated the field accuracy and tolerability of a novel (BACTrack Skyn) and established (Alcohol Monitoring Systems SCRAM CAM) alcohol biosensor. The sensor and diary data were collected in a larger study of a biofeedback intervention but compared observationally in the present sub-study. Participants (high-risk drinkers, 40% female; median age 21) wore both Skyn and SCRAM CAM sensors for 1 to 6 days and were instructed to drink as usual. Data from the first cohort of participants (N=27; 101 person-days) were used to find threshold values of transdermal alcohol that classified each day as meeting or not meeting defined levels of drinking (heavy, above-moderate, any). These values were used to develop scoring metrics that were subsequently tested using the second cohort (N = 20; 57 person-days). Data from both biosensors were compared to mobile diary self-report to evaluate sensitivity and specificity in relation to a priori standards established in the literature. Skyn classification rules for Cohort #1 within 3 months of device shipment showed excellent sensitivity for heavy drinking (94%) and exceeded expectations for above-moderate and any drinking (78%/69%), while specificity met expectations (91%). However, classification worsened when Cohort #1 devices ≥3 months from shipment were tested (area under curve for receiver operator characteristic .87 vs .79) and the derived classification threshold when applied to Cohort #2 was inadequately specific (70%). Skyn tolerability metrics were excellent and exceeded the SCRAM CAM (p ≤.001). Skyn tolerability was favorable and accuracy rules were internally derivable but did not yield useful scoring metrics going forward across device lots and months of usage.
DOI: 10.1007/s40279-021-01543-5
发表时间: 2021-11
期刊: Sports medicine (Auckland, N.Z.)
影响因子: --
作者:
Ash GI;Stults-Kolehmainen M;Busa MA;Gaffey AE;Angeloudis K;Muniz-Pardos B;Gregory R;Huggins RA;Redeker NS;Weinzimer SA;Grieco LA;Lyden K;Megally E;Vogiatzis I;Scher L;Zhu X;Baker JS;Brandt C;Businelle MS;Fucito LM;Griggs S;Jarrin R;Mortazavi BJ;Prioleau T;Roberts W;Spanakis EK;Nally LM;Debruyne A;Bachl N;Pigozzi F;Halabchi F;Ramagole DA;Janse van Rensburg DC;Wolfarth B;Fossati C;Rozenstoka S;Tanisawa K;Börjesson M;Casajus JA;Gonzalez-Aguero A;Zelenkova I;Swart J;Gursoy G;Meyerson W;Liu J;Greenbaum D;Pitsiladis YP;Gerstein MB
通讯作者: Gerstein MB
DOI: 10.1111/add.13767
发表时间: 2017-06
期刊: Addiction (Abingdon, England)
影响因子: --
作者:
Barnett NP;Celio MA;Tidey JW;Murphy JG;Colby SM;Swift RM
通讯作者: Swift RM
DOI: 10.1111/acer.12514
发表时间: 2014-10-01
影响因子: 3.2
作者:
Corbin, William R.;Zalewski, Suzanne;O'Malley, Stephanie S.
通讯作者: O'Malley, Stephanie S.
DOI: 10.1111/acer.14172
发表时间: 2019-08-30
影响因子: 3.2
作者:
Fairbairn, Catharine E.;Kang, Dahyeon
通讯作者: Kang, Dahyeon
DOI: 10.1016/j.addbeh.2018.06.006
发表时间: 2018-10-01
影响因子: 4.4
作者:
Karns-Wright, Tara E.;Dougherty, Donald M.;Roache, John D.
通讯作者: Roache, John D.